Patents by Inventor Asaf Gilboa-Amir

Asaf Gilboa-Amir has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11610493
    Abstract: An automated system is provided that receives and utilizes travel related data from unmanned aerial vehicles (“UAVs”) for optimizing the scheduling and routing of deliveries by UAVs. Travel routes through delivery areas are planned and when it is determined that a first UAV has deviated from a planned travel route to avoid a location in an area, a second UAV (e.g., which may have additional sensors and/or recording capabilities) may be sent to collect updated travel related data regarding the location. The updated travel related data (e.g., which may indicate that there is a new obstacle, a source of magnetic interference, a wind, etc. at the location) may be utilized for planning future travel routes for deliveries.
    Type: Grant
    Filed: January 27, 2020
    Date of Patent: March 21, 2023
    Assignee: Amazon Technologies, Inc.
    Inventors: Asaf Gilboa-Amir, Jon T. Hanlon, Neil Whitney Woodward, III
  • Patent number: 10553122
    Abstract: An automated system is provided that receives and utilizes travel related data from unmanned aerial vehicles (“UAVs”) and other sources (e.g., data aggregators, weather services, obstacle databases, etc.) for optimizing the scheduling and routing of deliveries by UAVs. The travel related data that is received from the sensors of UAVs and other sources may indicate the locations and characteristics of obstacles, weather, crowds of people, magnetic interference, etc., which may be evaluated and utilized for determining and updating flight plans for UAVs. In various implementations, the travel related data received from the sensors of a UAV may be combined with other travel related data and stored (e.g., at a central management system, in UAVs, etc.) for further analysis and use in determining UAV delivery schedules and related operations of materials handling facilities.
    Type: Grant
    Filed: March 22, 2016
    Date of Patent: February 4, 2020
    Assignee: Amazon Technologies, Inc.
    Inventors: Asaf Gilboa-Amir, Jon T. Hanlon, Neil Whitney Woodward, III
  • Patent number: 9777502
    Abstract: A multi-level (ML) fulfillment center is designed to accommodate landing and takeoff of unmanned aerial vehicles (UAVs), possibly in an urban setting, such as in a densely populated area. Unlike traditional fulfillment centers, the ML fulfillment centers may include many levels (i.e., stories, floors, etc.) as permitted under zoning regulations for respective areas. The fulfillment center may have one or more landing locations and one or more deployment locations to accommodate UAVs, which may delivery at least some of the items from the fulfillment center to locations associated with customers.
    Type: Grant
    Filed: December 18, 2015
    Date of Patent: October 3, 2017
    Assignee: Amazon Technologies, Inc.
    Inventors: James Christopher Curlander, Asaf Gilboa-Amir, Lauren Marie Kisser, Robert Arthur Koch, Ricky Dean Welsh
  • Publication number: 20170175413
    Abstract: A multi-level (ML) fulfillment center is designed to accommodate landing and takeoff of unmanned aerial vehicles (UAVs), possibly in an urban setting, such as in a densely populated area. Unlike traditional fulfillment centers, the ML fulfillment centers may include many levels (i.e., stories, floors, etc.) as permitted under zoning regulations for respective areas. The fulfillment center may have one or more landing locations and one or more deployment locations to accommodate UAVs, which may delivery at least some of the items from the fulfillment center to locations associated with customers.
    Type: Application
    Filed: December 18, 2015
    Publication date: June 22, 2017
    Inventors: James Christopher Curlander, Asaf Gilboa-Amir, Lauren Marie Kisser, Robert Arthur Koch, Ricky Dean Welsh